ACCESS Newswire (ACCS) Interest Expenses (2009 - 2026)
ACCESS Newswire's Interest Expenses came in at $38,000 for Q1 2026, down 81.4% from $204,000 a year earlier.
ACCESS Newswire (ACCS) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, ACCESS Newswire reported Interest Expenses of $526,000, up 3.7% year-over-year; for FY2025, it was $2,000, down 99.8% from FY2024.
- Interest Expenses carries a three-year compound annual growth rate of -43.3% (FY2022 to FY2025).
- Going back by year, Interest Expenses was $1.11 million in FY2024 (-11.4%), $1.25 million in FY2023 and $11,000 in FY2022.
- The Q1 2026 figure represents the lowest quarterly Interest Expenses since Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | ACCESS Newswire | 18.19 Mn | 6.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 38,000.00 |
| Mar 31, 2025 | 204,000.00 |
| Mar 31, 2024 | 284,000.00 |
| Sep 30, 2015 | 19,203.00 |
| Jun 30, 2015 | 33,333.00 |
| Mar 31, 2015 | 33,333.00 |
| Sep 30, 2014 | 50,000.00 |
| Jun 30, 2014 | 50,000.00 |
| Mar 31, 2014 | 50,000.00 |
| Mar 31, 2011 | 2,862.00 |
| Dec 31, 2010 | -2,058.00 |
| Sep 30, 2010 | -12,442.00 |
| Jun 30, 2010 | -1,472.00 |
| Mar 31, 2010 | -35,270.00 |
| Dec 31, 2009 | 435.00 |
| Sep 30, 2009 | -1,082.00 |
| Jun 30, 2009 | 65.00 |
| Mar 31, 2009 | 1,271.00 |
ACCESS Newswire Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=ACCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ACCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=ACCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();